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This book presents a critical and modern analysis of the conceptual foundations of statistical mechanics as laid down in Boltzmann's works. The author emphasizes the relation between microscopic reversibility and macroscopic irreversibility. Students will find a clear and detailed explanation of fundamental concepts such as equipartition, entropy, and ergodicity. They will learn about Brownian motion, the modern treatment of the thermodynamic limit phase transitions, the microscopic and macroscopic theory of the coexistence of phases, statistical mechanics of stationary states, and fluctuations and dissipation in chaotic motions.
Statistical physics --- Statistical mechanics. --- Mécanique statistique --- Mécanique statistique --- Statistical physics. --- Dynamical systems. --- Thermodynamics. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Chemistry, Physical and theoretical --- Dynamics --- Mechanics --- Physics --- Heat --- Heat-engines --- Quantum theory --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics --- Mathematical statistics --- Statistical methods --- Quantum statistics --- Thermodynamics
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This textbook provides an excellent introduction to a new and rapidly developing field of research. The topics treated include a detailed exploration of the quantum aspects of nonlinear dynamics, quantum criteria to distinguish regular and irregular motion, antiunitary symmetries (generalized time reversal) and a thorough account of the quantum mechanics of dissipative systems. Each chapter is accompanied by a selection of problems which will help the student to test and deepen his/her understanding and to acquire an active command of the methods. The second edition is significantly expanded. Of the considerable theoretical progress lately achieved, the book focusses on the deeper statistical exploitation of level dynamics, improved control of semiclassical periodic-orbit expansions, and superanalytic techniques for dealing with various types of random matrices.
Quantum chaos. --- Chaos quantique --- Statistical physics. --- Dynamical systems. --- Quantum physics. --- Physics. --- Complex Systems. --- Quantum Physics. --- Mathematical Methods in Physics. --- Statistical Physics and Dynamical Systems. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics --- Mathematical statistics --- Statistical methods
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Statisticians of the Centuries aims to demonstrate the achievements of statistics to a broad audience, and to commemorate the work of celebrated statisticians. This is done through short biographies that put the statistical work in its historical and sociological context, emphasizing contributions to science and society in the broadest terms rather than narrow technical achievement. The discipline is treated from its earliest times and only individuals born prior to the 20th Century are included. The volume arose through the initiative of the International Statistical Institute (ISI), the principal representative association for international statistics (founded in 1885). Extensive consultations within the statistical community, and with prominent members of ISI in particular, led to the names of the 104 individuals who are included in the volume. The biographies were contributed by 73 authors from across the world. The editors are the well-known statisticians Chris Heyde and Eugene Seneta. Chris Heyde is Professor of Statistics at both Columbia University in New York and the Australian National University in Canberra. He is also Director of the Center for Applied Probability at Columbia. He has twice served as Vice President of the ISI, and also as President of the ISI's Bernoulli Society. Eugene Seneta is Professor of Mathematical Statistics at the University of Sydney and a Member of the ISI. His historical writings focus on 19th Century France and the Russian Empire. He has taught courses on the history of probability-based statistics in U.S. universities. Both editors are Fellows of the Australian Academy of Science and have, at various times, been awarded the Pitman Medal of the Statistical Society of Australia for their distinguished research contributions.
Mathematical statistics --- Mathematician. Statistician. Logici --- Statisticians --- AA / International- internationaal --- 300 --- 08 --- Algemene statistische naslagwerken. --- Biografieën en memoires. --- Statistics. --- Statistical physics. --- Dynamical systems. --- Statistics, general. --- Statistical Physics, Dynamical Systems and Complexity. --- Biography. --- Mathematicians --- Biografieën en memoires --- Algemene statistische naslagwerken --- Mathematics --- Mathématiques --- Mathématiciens --- History. --- Histoire. --- Statistics . --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Mathématiques --- Histoire --- Statisticians - Biography. --- Biographie --- Statistics - history --- Statistics - biography
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It is not an exaggeration to say that one of the most exciting predictions of Einstein's theory of gravitation is that there may exist "black holes": putative objects whose gravitational fields are so strong that no physical bodies or signals can break free of their pull and escape. The proof that black holes do exist, and an analysis of their properties, would have a significance going far beyond astrophysics. Indeed, what is involved is not just the discovery of yet another even if extremely remarkable, astro physical object, but a test of the correctness of our understanding of the properties of space and time in extremely strong gravitational fields. Theoretical research into the properties of black holes, and into the possible corol laries of the hypothesis that they exist, has been carried out with special vigor since the beginning of the 1970's. In addition to those specific features of black holes that are important for the interpretation of their possible astrophysical manifestations, the theory has revealed a number of unexpected characteristics of physical interactions involving black holes. By the middle of the 1980's a fairly detailed understanding had been achieved of the properties of the black holes, their possible astrophysical manifestations, and the specifics of the various physical processes involved. Even though a completely reliable detection of a black hole had not yet been made at that time, several objects among those scrutinized by astrophysicists were considered as strong candidates to be confirmed as being black holes.
Black holes (Astronomy) --- Astrophysics. --- Trous noirs (Astronomie) --- Astrophysique --- Astrophysics --- Mathematical physics. --- Statistical physics. --- Dynamical systems. --- Observations, Astronomical. --- Astronomy—Observations. --- Theoretical, Mathematical and Computational Physics. --- Complex Systems. --- Astronomy, Observations and Techniques. --- Astrophysics and Astroparticles. --- Statistical Physics and Dynamical Systems. --- Astronomical physics --- Astronomy --- Cosmic physics --- Physics --- Astronomical observations --- Observations, Astronomical --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mathematical statistics --- Physical mathematics --- Statistical methods
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Synchronization: From Simple to Complex is devoted to the fundamental phenomenon in physics – synchronization that occurs in coupled non-linear dissipative oscillators. Examples of such systems range from mechanical clocks to population dynamics, from human heart to neural networks. The authors study this phenomenon as applied to oscillations of different nature such as those with periodic, chaotic, noisy and noise-induced nature, reveal the general mechanisms behind synchronization, and bring to light other important effects that accompany synchronization such as phase multistability, dephasing and multimode interaction. The main purpose of this book is to demonstrate that the complexity of synchronous patterns of real oscillating system can be described in the framework of the general approach.
Nonlinear oscillations. --- Synchronization. --- Synchronization --- Nonlinear oscillations --- Sciences - General --- Physical Sciences & Mathematics --- Synchronism --- Physics. --- Statistical physics. --- Dynamical systems. --- Engineering. --- Statistical Physics, Dynamical Systems and Complexity. --- Theoretical, Mathematical and Computational Physics. --- Engineering, general. --- Nonlinear theories --- Oscillations --- Time measurements --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Construction --- Industrial arts --- Technology --- Statistical methods --- Mathematical physics. --- Physical mathematics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics
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Chaos: An Introduction to Dynamical Systems, was developed and class-tested by a distinguished team of authors at two universities through their teaching of courses based on the material. Intended for courses in nonlinear dynamics offered either in Mathematics or Physics, the text requires only calculus, differential equations, and linear algebra as prerequisites. Along with discussions of the major topics, including discrete dynamical systems, chaos, fractals, nonlinear differential equations and bifurcations, the text also includes Lab Visits, short reports that illustrate relevant concepts from the physical, chemical and biological sciences. There are Computer Experiments throughout the text that present opportunities to explore dynamics through computer simulations, designed to be used with any software package. And each chapter ends with a Challenge, which provides students a tour through an advanced topic in the form of an extended exercise.
Differential geometry. Global analysis --- 517.987 --- 517.987 Measures. Representations of Boolean algebras. Metric theory of dynamic systems --- Measures. Representations of Boolean algebras. Metric theory of dynamic systems --- Mathematical physics --- Differentiable dynamical systems. --- Chaotic behavior in systems. --- Differentiable dynamical systems --- Chaotic behavior in systems --- Chaos --- Dynamique différentiable --- Global analysis (Mathematics). --- Statistical physics. --- Analysis. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Mathematical analysis. --- Analysis (Mathematics). --- Dynamical systems. --- Dynamique différentiable
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Hydrodynamics --- Topology --- Hydrodynamique --- Topologie --- EPUB-LIV-FT SPRINGER-B --- Hydrodynamics. --- Mathematics. --- Fluids. --- Statistical physics. --- Dynamical systems. --- Computational intelligence. --- Mathematics, general. --- Fluid- and Aerodynamics. --- Statistical Physics, Dynamical Systems and Complexity. --- Computational Intelligence. --- Topology. --- Engineering. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Hydraulics --- Hydrostatics --- Permeability --- Math --- Science --- Statistical methods --- Fluid dynamics
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Concepts, methods and techniques of statistical physics in the study of correlated, as well as uncorrelated, phenomena are being applied ever increasingly in the natural sciences, biology and economics in an attempt to understand and model the large variability and risks of phenomena. This is the first textbook written by a well-known expert that provides a modern up-to-date introduction for workers outside statistical physics. The emphasis of the book is on a clear understanding of concepts and methods, while it also provides the tools that can be of immediate use in applications. Although this book evolved out of a course for graduate students, it will be of great interest to researchers and engineers, as well as to post-docs in geophysics and meteorology.
Critical phenomena (Physics) --- Geography. --- Mathematics. --- Statistical physics. --- Complex Systems. --- Earth Sciences, general. --- Game Theory, Economics, Social and Behav. Sciences. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Math --- Science --- Cosmography --- Earth sciences --- World history --- Statistical methods --- Critical phenomena (Physics). --- Dynamical systems. --- Earth sciences. --- Game theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Geosciences --- Environmental sciences --- Physical sciences --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics
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This concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear hyperbolic and parabolic equations. Yet the topic of differential equations on graphs, ramified spaces, and more general network-like objects has recently gained significant momentum and, well beyond the confines of mathematics, there is a lively interdisciplinary discourse on all aspects of so-called complex networks. Such network-like structures can be found in virtually all branches of science, engineering and the humanities, and future research thus calls for solid theoretical foundations. This book is specifically devoted to the study of evolution equations – i.e., of time-dependent differential equations such as the heat equation, the wave equation, or the Schrödinger equation (quantum graphs) – bearing in mind that the majority of the literature in the last ten years on the subject of differential equations of graphs has been devoted to elliptic equations and related spectral problems. Moreover, for tackling the most general settings - e.g. encoded in the transmission conditions in the network nodes - one classical and elegant tool is that of operator semigroups. This book is simultaneously a very concise introduction to this theory and a handbook on its applications to differential equations on networks. With a more interdisciplinary readership in mind, full proofs of mathematical statements have been frequently omitted in favor of keeping the text as concise, fluid and self-contained as possible. In addition, a brief chapter devoted to the field of neurodynamics of the brain cortex provides a concrete link to ongoing applied research.
Evolution equations. --- Engineering. --- Applications of Graph Theory and Complex Networks. --- Graph Theory. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Complex Systems. --- Complexity. --- Construction --- Industrial arts --- Technology --- Physics. --- Graph theory. --- Statistical physics. --- System theory. --- Computational complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Systems, Theory of --- Systems science --- Science --- Physics --- Mathematical statistics --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Philosophy --- Statistical methods --- Extremal problems
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This book presents a new approach to the analysis of networks, which emphasizes how one can compress a network while preserving all information relative to the network's spectrum. This approach can be applied to any network irrespective of the network's structure or whether the network is directed, undirected, weighted, unweighted, etc. Besides these compression techniques, the authors introduce a number of other isospectral transformations and demonstrate how, together, these methods can be applied to gain new results in a number of areas. This includes the stability of time-delayed and non time-delayed dynamical networks, eigenvalue estimation, pseudospectra analysis, and the estimation of survival probabilities in open dynamical systems. The theory of isospectral transformations, developed in this text, can be readily applied in any area that involves the analysis of multidimensional systems and is especially applicable to the analysis of network dynamics. This book will be of interest to mathematicians, physicists, biologists, engineers and to anyone who has an interest in the dynamics of networks.
Communication --- Network analysis. --- Network analysis (Communication) --- Methodology --- Differentiable dynamical systems. --- Mathematical physics. --- Dynamical Systems and Ergodic Theory. --- Mathematical Methods in Physics. --- Complex Systems. --- Physical mathematics --- Physics --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Mathematics --- System analysis --- Dynamics. --- Ergodic theory. --- Physics. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Philosophy
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